@scangos
Joined July 2018
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1/ Excited to share our latest study identifying neural network biomarkers for major depression from intracranial recordings! Novel way of understanding psychiatric conditions. biorxiv.org/cgi/content/shor…
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11/ But what about connectivity – how does this relate? In a Connectivity Analysis looking at inter- and intra-modular connectivity, we found weaker connectivity throughout in our first biotype and increased left frontal connectivity in the second.
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12/ In summary using an unusual dataset of direct neural recordings, our findings suggest that several highly interconnected circuit activity patterns are involved in depression. We hope that they may aid in the development of novel personalized treatment approaches.
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5/ Yet, despite high rates of depression in epilepsy (where iEEG recordings possible), population level analyses have not been performed. This is due to the heterogenous sampling of disease-relevant networks across subjects (electrodes are placed clinically).
4/ Intracranial EEG (iEEG) enables 1) direct sampling from brain regions (both cortical and subcortical) and 2) recordings over multi-day periods -- both major advantages over non-invasive methods.
3/ Our rationale is that quantitative biomarkers of depression are critical for advancing rational treatment design – but remain elusive. We think this is due to heterogeneity within depression and inadequate resolution of current measurements tools.
2/ Great collaborative effort between @ANKhambhati, @PatrickMDaly @LucyLongOwen, @ContextMemLab and others.
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